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首页> 外文期刊>Remote Sensing >Wavelet-Based Topographic Effect Compensation in Accurate Mountain Glacier Velocity Extraction: A Case Study of the Muztagh Ata Region, Eastern Pamir
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Wavelet-Based Topographic Effect Compensation in Accurate Mountain Glacier Velocity Extraction: A Case Study of the Muztagh Ata Region, Eastern Pamir

机译：基于小波的地形效应补偿在准确的山地冰川速度提取中的应用：以东帕米尔州穆兹塔格·阿塔地区为例

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摘要

Glaciers in high mountain regions play an important role in global climate research. Glacier motion, which is the main characteristic of glacier activity, has attracted much interest and has been widely studied, because an accurate ice motion field is crucial for both glacier activity analysis and ice avalanche prediction. Unfortunately, the serious topographic effects associated with the complex terrain in high mountain regions can result in errors in ice movement estimation. Thus, according to the different characteristics of the results of pixel tracking in the wavelet domain after random sample consensus (RANSAC)-based global deformation removal, a wavelet-based topographic effect compensation operation is presented in this paper. The proposed method is then used for ice motion estimation in the Muztagh Ata region, without the use of synthetic-aperture radar (SAR) imaging geometry parameters. The results show that the proposed method can effectively improve the accuracy of glacier motion estimation by reducing the mean and standard deviation values from 0.32 m and 0.4 m to 0.16 m and 0.23 m, respectively, in non-glacial regions, after precisely compensating the topographic effect with Advanced Land Observing Satellite–Phased Array-type L-band Synthetic Aperture Radar (ALOS–PALSAR) imagery. Therefore, the presented wavelet-based topographic effect compensation method is also effective without requiring the SAR imaging geometry parameters and has the potential to be widely used in the accurate estimation of mountain glacier velocity.
机译：高山冰川在全球气候研究中发挥着重要作用。冰川运动是冰川活动的主要特征，引起了广泛的兴趣，并受到了广泛研究，因为准确的冰运动场对于冰川活动分析和雪崩预测都至关重要。不幸的是，与高山地区复杂地形相关的严重地形影响可能导致冰运动估计误差。因此，针对基于随机样本一致性（RANSAC）的全局变形去除后小波域中像素跟踪结果的不同特征，提出了一种基于小波的地形效果补偿算法。然后，在不使用合成孔径雷达（SAR）成像几何参数的情况下，将提出的方法用于Muztagh Ata地区的冰运动估计。结果表明，该方法可以在精确补偿地形后，通过将非冰川地区的平均偏差和标准偏差值分别从0.32 m和0.4 m分别减小到0.16 m和0.23 m来有效地提高冰川运动的估计精度。先进的陆地观测卫星相控阵型L波段合成孔径雷达（ALOS–PALSAR）图像的效果。因此，所提出的基于小波的地形效应补偿方法在不需要SAR成像几何参数的情况下也是有效的，并且有可能被广泛用于准确估计山冰川速度。

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